VideoStory

[1]  Cees Snoek,et al.  Recommendations for recognizing video events by concept vocabularies , 2014, Comput. Vis. Image Underst..

[2]  Nicu Sebe,et al.  We are not equally negative: fine-grained labeling for multimedia event detection , 2013, ACM Multimedia.

[3]  Sharath Pankanti,et al.  Spatio-temporal fisher vector coding for surveillance event detection , 2013, ACM Multimedia.

[4]  F. Perronnin,et al.  Image Classification with the Fisher Vector: Theory and Practice , 2013, International Journal of Computer Vision.

[5]  Masoud Mazloom,et al.  Searching informative concept banks for video event detection , 2013, ICMR.

[6]  Pradipto Das,et al.  Translating related words to videos and back through latent topics , 2013, WSDM.

[7]  Nicu Sebe,et al.  Knowledge adaptation for ad hoc multimedia event detection with few exemplars , 2012, ACM Multimedia.

[8]  Quan Wang,et al.  Regularized latent semantic indexing , 2011, SIGIR.

[9]  Shih-Fu Chang,et al.  Consumer video understanding: a benchmark database and an evaluation of human and machine performance , 2011, ICMR.

[10]  Roger Levy,et al.  A new approach to cross-modal multimedia retrieval , 2010, ACM Multimedia.

[11]  Markus Koch,et al.  Learning automatic concept detectors from online video , 2010, Comput. Vis. Image Underst..

[12]  Shih-Fu Chang,et al.  To search or to label?: predicting the performance of search-based automatic image classifiers , 2006, MIR '06.

[13]  Milind R. Naphade,et al.  Learning the semantics of multimedia queries and concepts from a small number of examples , 2005, MULTIMEDIA '05.

[14]  Dan Klein,et al.  Accurate Unlexicalized Parsing , 2003, ACL.

[15]  Qi Tian,et al.  Multimedia search reranking: A literature survey , 2014, CSUR.

[16]  Thomas Hofmann,et al.  Probabilistic latent semantic indexing , 1999, SIGIR '99.